Senior Agentic AI/ML Engineer

General Dynamics

Quick summary

Work type
On-site
Location
Arlington, VA
Salary
$199,750–$270,250 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k
This role $235k
$149k most similar roles pay here $283k

This role pays more than 71% of similar roles. Most pay $162,000–$238,675 — the shaded band above. At the midpoint, this role pays about $235k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About General Dynamics

General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.

General Dynamics currently has 519 open roles on FindRole.

Listed pay typically runs $118,519–$150,385 across 438 roles with salary data.

Most-posted roles

View all roles at General Dynamics

At a glance

TL;DR · Senior Agentic AI/ML Engineer

Role Posting Log in to save

Iron EagleX seeks a Senior Agentic AI/ML Engineer to join their Crystal City, VA team, focusing on designing and deploying advanced machine learning and agentic AI solutions. This role involves developing Python-based ML models for mission-focused decision-making, creating efficient data pipelines, and integrating AI capabilities into applications using Docker and Git. The engineer will collaborate with cross-functional teams to build scalable, secure, and reliable systems that enhance analytics and automate complex tasks. Key skills include proficiency in Python, machine learning frameworks like TensorFlow or PyTorch, and experience with CI/CD workflows and containerization tools.

Skills

Python CI/CD Docker MLOps Git TensorFlow PyTorch scikit-learn RESTful APIs PostgreSQL Kubernetes LangChain DevSecOps Vector databases Semantic search Embeddings Knowledge retrieval systems LLMOps

What you'll do

  • Design and develop machine learning models to support mission-focused decision-making.
  • Build and maintain AI/ML pipelines for data ingestion, preprocessing, and model deployment.
  • Develop agentic AI workflows that integrate with external systems and tools.
  • Evaluate the accuracy and operational suitability of agentic AI systems.
  • Integrate APIs and services to enable AI/ML capabilities within software systems.

What we're looking for

  • Proficiency in Python and AI/ML libraries/frameworks.
  • Experience developing, training, evaluating, and deploying ML models.
  • Strong understanding of supervised learning, unsupervised learning, model evaluation, feature engineering, and data preprocessing techniques.
  • Hands-on experience with structured/unstructured data for analytics/AI/ML use cases.
  • Familiarity with MLOps concepts including CI/CD, monitoring, deployment of ML systems.
  • Experience designing or integrating agentic AI workflows using LLMs, tools, APIs.
  • Understanding of agentic AI concepts such as task planning, tool selection, orchestration.

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